Top Data & Analytics Jobs

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

As a Senior Machine Learning Engineer, you will design and productionize machine learning models, collaborate with teams, and maintain high quality code.

As a Model Risk Program Associate, you'll validate models, assess risks, communicate findings, and uphold standards in model governance.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

The role involves gaining experience in supply chain analytics, working on data engineering, business dashboards, and predictive models, while engaging in project work and mentorship.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

The Principal Quantitative Analyst will develop analytical models, work with cloud-based solutions, and collaborate across business teams to enhance Capital Markets modeling and improve business performance using quantitative and machine learning methods.

As a Data Engineering Intern, you'll work on data pipelines, cloud infrastructure, and data quality, collaborating on projects using AI and DevOps tools.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

As a Principal Architect, you'll guide technology choices, develop architecture roadmaps, create coding frameworks, and drive innovative solutions in cloud and related technologies.

As Director of Credit Risk, lead the development of credit risk strategies, oversee the credit lifecycle, and optimize loan performance while managing relationships with stakeholders.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

The role involves validating market risk models, utilizing statistical modeling and machine learning, and clearly communicating findings to stakeholders.

The Credit Risk Manager will analyze data, develop risk management strategies, collaborate with cross-functional teams, and implement underwriting policies for credit cards.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

The role involves managing risk assessment processes, collaborating with stakeholders to improve risk posture, and leading projects while analyzing data to drive assessments.

The Decision Analytics Manager oversees projects and teams, providing technical guidance in data analytics and business strategies. Responsibilities include managing project scopes, mentoring staff, conducting analyses, and ensuring quality deliverables, while engaging with clients and driving business development efforts.

The Senior Data Analyst will support data governance initiatives, guide data management activities, assist with best practices, and contribute to metrics reporting.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Lead the design and implementation of data platforms, drive data engineering practices, manage teams, and develop actionable data-driven solutions in a retail environment.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

The Manager, Data Science will lead a team of data scientists in developing machine learning models and data analysis to enhance banking experiences and security.